NeTS: Small: From Sensing To Sharing Across Networks In White Space

联邦通信委员会对白色空间的开放为未许可的使用创造了令人兴奋的新机会。 它还提出了挑战：本研究针对多个次用户和多个网络在白色空间中的频谱共享问题，提出了一种频谱感知的整体方法。 特别是，它首先开发了有效和准确的频谱感知技术，同时利用时域和频域的功能，稀疏性在活跃的发射机，和时间和空间的局部性在传输。其次，研究了异构网络中不同节点具有不同信息视图的情况下，共享网络状态的代价和收益。第三，它研究了跨网络的频谱共享（例如，CSMA/MaxWeight、TDMA/CSMA共址网络）。它开发算法并研究性能和公平性，无状态交换）和跨网络的信息的显式共享。第四，提出了一种基于白色空间的自上而下的设计方案，利用随机的类CDMA码与OFDM物理层进行频谱共享，从而为白色空间中的用户和网络之间的频谱共享提供了一种新的高效的架构，本文研究的算法、技术和软件将有助于实现白色空间中的有效通信，创造新的无线网络技术，加深我们对无线网络的理解。研究结果将纳入网络课程，并通过会议/期刊出版物和软件分发广泛传播。

The anticipated opening up of white space by the FCC for unlicenseduse has created exciting new opportunities. It also presents uniquechallenges: (i) it requires accurate wide-band spectrum sensingtechnique to avoid interfering with primary users, and (ii) it needsdynamic spectrum sharing in heterogeneous setting both within networksand across networks.This project develops a holistic approach for spectrum sensing toaddress spatio-temporal variability and spectrum sharing amongmultiple secondary users and networks in white space. In particular,it first develops efficient and accurate spectrum sensing techniquesthat simultaneously exploit time- and frequency-domain features,sparsity in active transmitters, and temporal and spatial locality inthe transmissions. Second, it studies the cost and benefits of sharingnetwork state in a heterogeneous network where different nodes havedifferent information views. Third, it studies spectrum sharing acrossnetworks (e.g., CSMA/MaxWeight, TDMA/CSMA co-located networks). Itdevelops algorithms and studies performance and fairness both withimplicit sharing (i.e., no state-exchange) and with explicit sharingof information across networks. Fourth, it proposes a ground-up designfor white space that leverages random CDMA-like codes for spectrumsharing with an OFDM physical layer that leads to a new efficientarchitecture for sharing across users and networks in white space.The algorithms, techniques, and software resulting from this researchwill help enable effective communication in white space, create newwireless network technologies, and deepen our understanding ofwireless networks. The research results will be incorporated intonetworking courses and widely disseminated through conference/journalpublications and software distribution.